sd-webui-controlnet VS sd-webui-additional-networks

A crucial step for achieving stable diffusion controlnet settings is the installation of the controlnet extension in Google Colab. Whether on a Windows PC or Mac, installing controlnet is vital for stable diffusion of human pose details. Additionally, updating the controlnet extension is necessary to maintain stability and achieve the desired results in OpenPose model. To install the v1.1 controlnet extension, go to the “extensions” tab and install it from this URL: https://github.com/Mikubill/sd-webui-controlnet. If you already have v1 controlnets installed, delete the folder from stable-diffusion-webui/extensions/. Install the v1.

1.1.420 Image-wise ControlNet and StyleAlign

I opened a request thread on ControlNet GitHub you can give a support : https://github.com/Mikubill/sd-webui-controlnet/issues/2319

It has been possible for 7 months now

I sometimes use a very similar technique in Cinema4d (here is a link to a c4d file with preset materials referencing proper colors for Semantic Segmentation if any other c4d user wants to try it), but yours is a much more accessible solution as it's free and it's accessible online.

There are models available that give you more control - in some senses, at least.

For example, you can use Stable Diffusion with 'ControlNet' [1] where for example, you can input an 'openpose' to choose the pose of people in the scene.

There's also a 'Regional Prompter' [2] which lets you use different prompts for different areas of the image, giving you some control over the composition.

You can also use 'inpainting' to regenerate select parts of your image if, for example, you don't like the shape of the clouds.

Of course this stuff isn't perfect - for example, you'll get hands with the wrong number of fingers sometimes, no matter what you specify :)

[1] https://github.com/Mikubill/sd-webui-controlnet

In the input field labeled "URL for extension's git repository," paste the following link: https://github.com/kohya-ss/sd-webui-additional-networks.git

Yes, this one: https://github.com/kohya-ss/sd-webui-additional-networks

Seems that calling Loras from the prompt is bugged right now. Install "Additional Networks" (https://github.com/kohya-ss/sd-webui-additional-networks) and use them from the GUI, without mentioning it in the prompt at all:

Use the additional networks extension Download your lora and place it into "stable-diffusion-webui\extensions\sd-webui-additional-networks\models\lora". Now you can select the lora in the additonal networks tab in your web ui and set a weight. Afterwards you can just generate your image.

sd-webui-additional-networks: wouldn't be necessary, but it has more functions than the basic web-ui integration.

📷 If you are getting the error "failed to match keys when loading Lora" it means you are either on the native Lora integration of Automatic1111 which may not support LoCon, please install the https://github.com/kohya-ss/sd-webui-additional-networks extension to solve the issue.

if you use civitai, you can use this extension, if you have this Lora extension, you can edit the meta data and load it from there.

I have both https://github.com/kohya-ss/sd-webui-additional-networks and https://github.com/KohakuBlueleaf/a1111-sd-webui-lycoris because i was told these are the ones i needed for LyCORIS to work. IT did for a while but since recently it has stopped working altogether.

This does not require the use of the Latent Couple(Two-Shot) extension. This requires the Additional Networks Extension, which may already be in your Stable Diffusion install or can be installed from https://github.com/kohya-ss/sd-webui-additional-networks through the extensions tab as shown below.